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Evaluation of supply chain collaboration: a case of apparel retail industry in India

Author

Listed:
  • R. Anbanandam
  • D.K. Banwet
  • Ravi Shankar

Abstract

Purpose - This paper seeks to propose a methodology to measure the extent of collaboration between apparel retailers and manufacturers in the apparel retail industry in India. Design/methodology/approach - The proposed model for measuring collaboration considers variables like top management commitment, information sharing, trust among supply chain partners, long‐term relationships and risk and reward sharing. Level of collaboration is measured using graph theory. Findings - The survey results confirmed the validity of the proposed collaboration index for measuring collaboration. The findings also show that the collaboration index is positively associated with operational performance. Research limitations/implications - Future research could consider larger sample sizes and cover other industrial sectors. Practical implications - Supply chain partners will be able to measure the extent of their collaboration and seek improvement in their performance. This approach helps to compare organizations in terms of their collaboration capability. Originality/value - This paper contributes to the literature by introducing an index for measuring the extent of supply chain collaboration. This measure can be used by any participant (member) in a supply chain to determine the level of collaboration and seek improvement.

Suggested Citation

  • R. Anbanandam & D.K. Banwet & Ravi Shankar, 2011. "Evaluation of supply chain collaboration: a case of apparel retail industry in India," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 60(2), pages 82-98, January.
    • Handle: RePEc:eme:ijppmp:v:60:y:2011:i:2:p:82-98
    DOI: 10.1108/17410401111101449
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    Citations

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    Cited by:

    1. Venkatesh, V.G. & Rathi, Snehal & Patwa, Sriyans, 2015. "Analysis on supply chain risks in Indian apparel retail chains and proposal of risk prioritization model using Interpretive structural modeling," Journal of Retailing and Consumer Services, Elsevier, vol. 26(C), pages 153-167.
    2. Priom Mahmud & Sanjoy Kumar Paul & Abdullahil Azeem & Priyabrata Chowdhury, 2021. "Evaluating Supply Chain Collaboration Barriers in Small- and Medium-Sized Enterprises," Sustainability, MDPI, vol. 13(13), pages 1-28, July.
    3. Vidyadhar V. Gedam & Rakesh D. Raut & Nishant Agrawal & Qingyun Zhu, 2023. "Critical human and behavioral factors on the adoption of sustainable supply chain management practices in the context of automobile industry," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 120-133, January.
    4. Naduni Madhavika & Nipuni Jayasinghe & Sandali Ehalapitiya & Thusara Wickramage & Dinimali Fernando & Vinura Jayasinghe, 2023. "Operationalizing resilience through collaboration: the case of Sri Lankan tea supply chain during Covid-19," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 2981-3018, August.
    5. Ge He & Li Zhou & Yiyang Dai & Yagu Dang & Xu Ji, 2020. "Coal Industrial Supply Chain Network and Associated Evaluation Models," Sustainability, MDPI, vol. 12(23), pages 1-20, November.
    6. Gilseung Ahn & You-Jin Park & Sun Hur, 2017. "Probabilistic Graphical Framework for Estimating Collaboration Levels in Cloud Manufacturing," Sustainability, MDPI, vol. 9(2), pages 1-17, February.
    7. Jayaram, Jayanth & Dixit, Mita & Motwani, Jaideep, 2014. "Supply chain management capability of small and medium sized family businesses in India: A multiple case study approach," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 472-485.
    8. Jung, Verena & Peeters - Rutten, Marianne & Vredeveld, Tjark, 2017. "A Framework for Better Evaluations of Supply Chain Collaborations: Evidence from the Dutch Fast Moving Consumer Goods Industry," Research Memorandum 014, Maastricht University, Graduate School of Business and Economics (GSBE).

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